• Design and deploy scalable, resilient multi-cloud architectures • Create, maintain, and refactor complex Terraform modules • Develop and manage Ansible playbooks to automate deployments • Enable the business to leverage AI by managing cognitive services • Translate high-level business requirements into technical blueprints • Build and maintain robust delivery pipelines in Azure DevOps

The selected candidate will join the team responsible for engineering and operating large-scale GPU and compute platforms that power AI/ML and high performance computing workloads across multiple datacenters. The team manages Kubernetes-based GPU environments, cluster infrastructure, and the supporting systems that enable internal engineering teams to train models, run simulations, and develop advanced software at scale. This role focuses on building reliable, scalable GPU platforms and helping internal users successfully run AI/ML and high-performance workloads on Kubernetes and related compute infrastructure. - Design, implement, and support GPU/Kubernetes clusters and supporting infrastructure - Supporting AI/ML training, simulation, and HPC workload customers - Develop automation and tooling for cluster provisioning, configuration management, and platform operations - Collaborate with application and research teams to optimize workloads running on GPU infrastructure - Implement monitoring, observability, and performance tuning across GPU and compute platforms - Troubleshoot infrastructure issues across compute, networking, and container platforms (occasional on-call support) - Contribute to platform reliability, scalability, and operational best practices - Produce clear technical documentation and operational runbooks Must Have: - 5+ years of Linux systems engineering or infrastructure experience - 2+ years working with container platforms such as Kubernetes or OpenShift - Familiarity with Kubernetes GPU scheduling and related tooling - Familiarity with CI/CD pipelines and platform engineering practices - Experience operating compute infrastructure for high-performance workloads or large distributed systems - Strong scripting or programming skills (Python, Bash, or similar) - Experience building infrastructure automation and operational tooling - Strong troubleshooting and problem-solving skills across complex infrastructure systems - Ability to communicate clearly with both platform engineers and application teams - Demonstrated ability to manage multiple technical initiatives simultaneously Nice to Have: - Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience - Experience with observability platforms such as Prometheus, Grafana, or similar - Experience with infrastructure automation tools (Ansible, Terraform, etc.) - Experience with high-speed networking technologies such as InfiniBand or RDMA You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: - Immediate medical, dental, and prescription drug coverage - Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more - Vehicle discount program for employees and family members, and management leases - Tuition assistance - Established and active employee resource groups - Paid time off for individual and team community service - A generous schedule of paid holidays, including the week between Christmas and New Year’s Day - Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: Benefit Summary This position is a salary grade 8. This position is a salary grade 8 and ranges from $113,580-190,500. *Visa Sponsorship is not provided for this role* Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-Remote #LI-GH2

• Provide customers with configuration advice, training, and problem resolution throughout the setup and installation process of Five9’s call center software. • Design and configure Five9’s platform for each customer’s unique requirements. • Troubleshoot software solutions in a wide array of configurations and customer environments both remotely and on-site. • Provide customized training to ensure customers have a thorough understanding of these solutions. • Articulate the value of Five9’s Professional Services through demonstrations and open discussion with Customers and prospects. • Effectively communicate with internal and external stakeholders.

• Lead, mentor, and grow the team of Platform Engineers by providing direction, removing blockers, and empowering them to own core platform infrastructure and tooling. • Partner with Cybersecurity, Product, and Engineering teams to ensure the platform supports secure, reliable, high-velocity delivery into cloud-native and air-gapped environments. • Drive standards and frameworks for Infrastructure as Code, service onboarding, environment management, GitOps workflows, and overall platform releases. • Ensure observability, reliability, scalability, and cost-effectiveness of the platform; continuously monitor and improve service health, developer feedback, and performance metrics. • Own the operational aspects of the platform team: incidents, responsiveness, After-Action Reviews (AARs) / post-mortems, runbooks, and continuous improvement of operational maturity. • Act as a key stakeholder in architecture, influencing decisions about how the platform integrates with product, engineering, and operations, and ensuring the platform meets mission needs.